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NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
IEE
2011
13 years 2 months ago
Using autonomous components to improve runtime qualities of software
: In the development of software systems, quality properties should be considered along with the development process so that the qualities of software systems can be inferred and p...
Wenpin Jiao
CORR
2002
Springer
101views Education» more  CORR 2002»
13 years 7 months ago
Semantic Component Composition
Building complex software systems necessitates the use of component-based architectures. In theory, of the set of components needed for a design, only some small portion of them ar...
Joseph Kiniry
CNSR
2011
IEEE
257views Communications» more  CNSR 2011»
12 years 11 months ago
On Threshold Selection for Principal Component Based Network Anomaly Detection
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
Petar Djukic, Biswajit Nandy
EOR
2011
172views more  EOR 2011»
13 years 2 months ago
Efficiency measurement using independent component analysis and data envelopment analysis
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...
Ling-Jing Kao, Chi-Jie Lu, Chih-Chou Chiu